Neural solutions of coupled ghost and gluon Dyson--Schwinger equations in Landau gauge
Abstract
The coupled ghost and gluon Dyson--Schwinger equations (DSEs) of four-dimensional Landau-gauge Yang--Mills (YM) theory are solved with a neural representation trained only from renormalized equation residuals. The neural and fixed-point solutions agree at the percent level and remain stable under changes of initialization, network size, integration grid, and infrared boundary condition. Variations of the three-gluon vertex model produce substantially larger effects than the neural error. The Min...
Description / Details
The coupled ghost and gluon Dyson--Schwinger equations (DSEs) of four-dimensional Landau-gauge Yang--Mills (YM) theory are solved with a neural representation trained only from renormalized equation residuals. The neural and fixed-point solutions agree at the percent level and remain stable under changes of initialization, network size, integration grid, and infrared boundary condition. Variations of the three-gluon vertex model produce substantially larger effects than the neural error. The MiniMOM ultraviolet running and the sign change of the gluon Schwinger function are also reproduced within the limitations of the truncation.
Source: arXiv:2607.21548v1 - http://arxiv.org/abs/2607.21548v1 PDF: https://arxiv.org/pdf/2607.21548v1 Original Link: http://arxiv.org/abs/2607.21548v1
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Jul 24, 2026
Data Science
Machine Learning
0